Statistical Dynamics and Reliability Theory for Mechanical Structures [electronic resource] /

The theory of random processes is an integral part of the analysis and synthesis of complex engineering systems. This textbook systematically presents the fundamentals of statistical dynamics and reliability theory. The theory of Markovian processes used during the analysis of random dynamic processes in mechanical systems is described in detail. Examples are machines, instruments and structures loaded with perturbations. The reliability and lifetime of those objects depend on how properly these perturbations are taken into account. Random vibrations with finite and infinite numbers of degrees of freedom are analyzed as well as the theory and numerical methods of non-stationary processes under the conditions of statistical indeterminacy. This textbook is addressed to students and post-graduate of technical universities. It can be also useful to lecturers and mechanical engineers, including designers in different industries.

Bibliographic Details

Main Authors:	Svetlitsky, V. A. author., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003
Subjects:	Engineering., Probabilities., Mechanics., Statistics., Applied mathematics., Engineering mathematics., Computational intelligence., Mechanics, Applied., Theoretical and Applied Mechanics., Probability Theory and Stochastic Processes., Appl.Mathematics/Computational Methods of Engineering., Computational Intelligence., Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.,
Online Access:	http://dx.doi.org/10.1007/978-3-540-45826-5
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